Pinned Repositories
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
bnt
Bayes Net Toolbox for Matlab
causal-inference-tutorial
Repository with code and slides for a tutorial on causal inference.
causaleffect
:exclamation: This is a read-only mirror of the CRAN R package repository. causaleffect — Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
causality
Tools for causal analysis
statistical-rethinking-1
Solutions for the practice problems
MTLC's Repositories
MTLC/statistical-rethinking-1
Solutions for the practice problems
MTLC/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
MTLC/causal-inference-tutorial
Repository with code and slides for a tutorial on causal inference.
MTLC/causaleffect
:exclamation: This is a read-only mirror of the CRAN R package repository. causaleffect — Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
MTLC/causality
Tools for causal analysis
MTLC/coursera-data-ml
MTLC/CRF
R package for Conditional Random Fields
MTLC/DBDA2Estan
Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
MTLC/dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
MTLC/golf
This repository contains Stan implementation of A Probability Model for Golf Putting by Gelman and Nolan discussed in this paper: http://stat.columbia.edu/~gelman/research/published/golf.pdf
MTLC/GRID
GSOD(R) Interpolated Data
MTLC/gsoc2017
R project in Google Summer of Code 2017
MTLC/hello-world
github tutorial from https://guides.github.com/activities/hello-world/
MTLC/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
MTLC/kod
My personal code
MTLC/kruschke-doing_bayesian_data_analysis
John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
MTLC/LSTM-Time-Series-Analysis
Using LSTM network for time series forecasting
MTLC/LSTM_example
Use an LSTM to predict a sine wave with noise added.
MTLC/meetups
Presentations from meetups and conferences
MTLC/mtlc.github.io
MTLC/networkx
Official NetworkX source code repository.
MTLC/notebooks
MTLC/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
MTLC/PyData_Keras_Talk
MTLC/statistical-rethinking
Notebooks containing R code from Richard McElreath's Statistical Rethinking
MTLC/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
MTLC/Thesis_work
Work for my thesis using random forest proximity matrices to generate historical analogies.
MTLC/traffic-prediction
Predict traffic flow with LSTM
MTLC/traffic-prediction-1
Traffic Prediction using LSTM method.
MTLC/webinars
Code and slides for RStudio webinars